Changes adding things and dir locals
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@@ -87,3 +87,74 @@
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year={1989},
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publisher={Taylor \& Francis}
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}
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@inproceedings{ghosh2017robust,
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title={Robust Loss Functions under Label Noise for Deep Neural Networks},
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author={Ghosh, Aritra and Kumar, Himanshu and Sastry, P. S.},
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booktitle={Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence},
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pages={1919--1925},
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year={2017}
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}
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@inproceedings{arpit2017memorization,
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title={A Closer Look at Memorization in Deep Networks},
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author={Arpit, Devansh and Jastrz\k{e}bski, Stanis{\l}aw and Ballas, Nicolas and Krueger, David and Bengio, Emmanuel and Kanwal, Maxinder S. and Maharaj, Tegan and Fischer, Asja and Courville, Aaron and Bengio, Yoshua and Lacoste-Julien, Simon},
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booktitle={Proceedings of the 34th International Conference on Machine Learning},
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pages={233--242},
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year={2017}
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}
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@inproceedings{zhang2018generalized,
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title={Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels},
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author={Zhang, Zhilu and Sabuncu, Mert},
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booktitle={Advances in Neural Information Processing Systems},
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volume={31},
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year={2018}
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}
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@inproceedings{patrini2017making,
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title={Making Deep Neural Networks Robust to Label Noise: {A} Loss Correction Approach},
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author={Patrini, Giorgio and Rozza, Alessandro and Krishna Menon, Aditya and Nock, Richard and Qu, Lizhen},
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booktitle={Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition},
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pages={1944--1952},
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year={2017}
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}
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@inproceedings{han2018coteaching,
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title={Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels},
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author={Han, Bo and Yao, Quanming and Yu, Xingrui and Niu, Gang and Xu, Miao and Hu, Weihua and Tsang, Ivor and Sugiyama, Masashi},
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booktitle={Advances in Neural Information Processing Systems},
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volume={31},
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year={2018}
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}
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@inproceedings{li2020dividemix,
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title={{DivideMix}: Learning with Noisy Labels as Semi-Supervised Learning},
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author={Li, Junnan and Socher, Richard and Hoi, Steven C. H.},
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booktitle={International Conference on Learning Representations},
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year={2020}
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}
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@inproceedings{ren2018learning,
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title={Learning to Reweight Examples for Robust Deep Learning},
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author={Ren, Mengye and Zeng, Wenyuan and Yang, Bin and Urtasun, Raquel},
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booktitle={Proceedings of the 35th International Conference on Machine Learning},
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pages={4334--4343},
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year={2018}
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}
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@inproceedings{feng2020can,
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title={Can Cross Entropy Loss Be Robust to Label Noise?},
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author={Feng, Lei and Shu, Senlin and Lin, Zhuoyi and Lv, Fengmei and Li, Li and An, Bo},
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booktitle={Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence},
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pages={2206--2212},
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year={2020}
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}
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@inproceedings{zhou2021asymmetric,
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title={Asymmetric Loss Functions for Learning with Noisy Labels},
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author={Zhou, Xiong and Liu, Xianming and Jiang, Junjun and Gao, Xin and Ji, Xiangyang},
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booktitle={Proceedings of the 38th International Conference on Machine Learning},
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pages={12846--12856},
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year={2021}
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}
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